CD Skripsi

Aplikasi Analisis Regresi Linear Berganda Untuk Menentukan Economic Order Quantity Dan Reorder Point

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Effective inventory management is a crucial aspect in the sustainability of retail
businesses, especially clothing stores that face fluctuating and seasonal demand.
This research aims to application multiple linear regression analysis to determine
Economic Order Quantity (EOQ) and Reorder Point (ROP) at Mama Emi
Store. The data used includes sales of six types of women’s clothing during
the period January 2024 to December 2024, with variables of annual demand,
ordering cost, holding cost, daily demand during lead time, and safety stock.
The research method uses a quantitative approach with the EOQ multi-item
model as a comparison. Multiple linear regression model for EOQ with demand
is the dominant variable. ROP model with safety stock is the most influential
variable. Classical assumption testing shows that both models meet the requirements
of normality, no multicollinearity occurs, and homoscedasticity. The F
test and t test prove that all independent variables have a significant effect both
simultaneously and partially. Comparison of results between the classic method
and multiple linear regression shows almost identical values, validating the consistency
and reliability of both approaches. Multiple linear regression models
have proven effective as a practical alternative in determining optimal inventory
policies, especially for small-scale businesses with limited resources, with
high predictive capabilities and ease of interpretation of relationships between
variables.
Keywords: Economic Order Quantity, inventory management, multiple linear
regression, Reorder Point, safety stock

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Ketersediaan

Informasi Detail

Judul Seri

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No. Panggil

2003112326

Penerbit

Pekanbaru - : Universitas Riau – FMIPA – Matematika., 2026

Deskripsi Fisik

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Bahasa

Indonesia

ISBN/ISSN

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Klasifikasi

2003112326

Tipe Isi

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Tipe Media

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Tipe Pembawa

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Edisi

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Subjek

MATEMATIKA

Info Detail Spesifik

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Pernyataan Tanggungjawab

ayu

Versi lain/terkait

Lampiran Berkas

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